Proceedings of the SIGCHI conference on Human Factors in Computing Systems
SmartSkip: consumer level browsing and skipping of digital video content
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A user attention model for video summarization
Proceedings of the tenth ACM international conference on Multimedia
Structuring home video by snippet detection and pattern parsing
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures
Multimedia Tools and Applications
Multi-modal emotive computing in a smart house environment
Pervasive and Mobile Computing
Toward automatic extraction of expressive elements from motion pictures: tempo
IEEE Transactions on Multimedia
Adaptive extraction of highlights from a sport video based on excitement modeling
IEEE Transactions on Multimedia
Visualization of video motion in context of video browsing
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
Interactively browsing movies in terms of action, foreshadowing and resolution
Proceedings of the 10th annual joint conference on Digital libraries
Facilitating interactive search and navigation in videos
Proceedings of the international conference on Multimedia
Introducing risplayer: real-time interactive generation of personalized video summaries
Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
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We present a video browsing approach, termed Temporal Semantic Compression (TSC), that uses automated measures of interest to support today's foraging behaviours. Conventional browsers 'compress' a video stream using simple 2x or 8x fast-forward. TSC browsers dynamically filter video based on a single user gesture to leave out more or less of the boring bits. We demonstrate a browser with an example interest measure, derived from an automated estimate of movie tempo, to forage in terms of narrative structures such as crises, climaxes, and action sequence book-ends. Media understanding algorithms facilitate browsing, and interactivity enables the human-in-the-loop to cope when those algorithms fail to cross the semantic gap.